Published online Feb 26, 2020. doi: 10.12998/wjcc.v8.i4.689
Peer-review started: September 29, 2019
First decision: November 21, 2019
Revised: December 26, 2019
Accepted: January 15, 2020
Article in press: January 15, 2020
Published online: February 26, 2020
Although breast cancer surgery has a therapeutic effect, it has a greater psychological impact on patients, which is mainly reflected in the impact on patients' awareness of disease and self-efficacy. In order to better help patients improve their self-management effect, adopting a positive behavior management model based on cognitive architecture can effectively promote patients to cultivate a positive rehabilitation mentality, thereby promoting prognostic recovery.
The motivation of this study is to find a way to provide scientific and effective interventions to improve the overall rehabilitation effect of breast cancer patients, so as to promote the rapid recovery of patients and maintain their physical and mental health. The key issues to be addressed in this study are how to set up the corresponding interventions and how to determine that the interventions have the expected effect. Our article solves the above problems perfectly by formulating comprehensive intervention measures and developing objective evaluation indicators. In the future, more in-depth studies in this area should be conducted through cooperation with other medical institutions or by expanding the sample size and analyzing more detailed measurement indicators to obtain more representative conclusions.
The main objective of this study is to obtain the application effect data of the positive behavior management model based on cognitive architecture, and to verify its effectiveness and feasibility in clinical application. The goal that has been achieved is that the study has clearly identified that this intervention can strengthen the self-efficacy of breast cancer patients, increase their level of hope for disease treatment, and relieve their anxiety and depression, thereby improving the quality of life of individuals. This also points out the direction for future research, which can be studied in more depth or expansion, so as to achieve a wider coverage.
The research method is mainly to implement different intervention measures for the two groups, focusing on the analysis of the role of the positive behavior management model based on cognitive architecture. The General Self-Efficacy Scale was used to evaluate self-efficacy, the Herth Hope Scale was used to evaluate hope level, the Self-rating Anxiety Scale and Self-rating Depressive Scale were used to evaluate negative emotions, and the breast cancer patient-specific scale was used to evaluate the quality of life. The characteristic and novelty of this research method lies in the fact that through the analysis of scales in different aspects, we statistically and comprehensively verify the effect of the intervention measures of the observation group, in order to provide clinical guidance.
The result of this study is that the effect and application value of the positive behavior management model based on cognitive architecture have been confirmed, thus pointing out specific directions for future interventions. The contribution of the study to its field is that it can help the clinical establishment of specific items, operational specifications and evaluation indicators of the positive behavior management model based on cognitive architecture. However, there are also some related problems, such as the need to further refine the research indicators and the evaluation schemes.
The new findings of the study are the affirmation of the role and value of the positive behavior management model based on cognitive architecture, which has taken a solid step for future clinical applications.
The lessons learned from this study are that continuing in-depth research and investigation can provide more substantial content for the positive behavior management model based on cognitive architecture, enrich its specific connotation, and thus make it more representative. Future research directions are mainly to expand disease adaptation, refine management models, and enrich survey methods. The best method for future research is to invite other medical institutions to conduct collaborative research, and conduct it more scientifically in the aspects of samples, indications, and so on.